There are number of techniques proposed by several researchers to analyze the
performance of clustering algorithms in data mining. All these techniques are not suggesting …

Data mining refers to extracting or “mining” knowledge from large amounts of data.
Clustering is one of the most important research areas in the field of data mining. Clustering …

In many fields clustering algorithms are being used. Clustering is a process of grouping of
similar objects into different groups or partitioning of a data set into subsets based on the …

Clustering is similar to classification in which data are grouped. A cluster is therefore a
collection of objects which are similar between them and are dissimilar to the objects …

Problem statement: Clustering is one of the most important research areas in the field of data
mining. Clustering means creating groups of objects based on their features in such a way …

Clustering is the grouping together of similar data items into clusters. Clustering analysis is
one of the main analytical methods in data mining; the method of clustering algorithm will …

In k-means clustering algorithm, the number of centroids is equal to the number of the
clusters in which data has to be partitioned which in turn is taken as an input parameter. The …

Clustering analysis is the most significant step in data mining. This paper discusses the k-
means clustering algorithm and various distance functions used in k-means clustering …

Cluster analysis is a descriptive task that seek to identify homogenous group of object and it
is also one of the main analytical method in data mining. K-mean is the most popular …